• 한국통신학회논문지
• /
• 제30권3C호
• /
• pp.176-184
• /
• 2005

본 논문에서는 디지털 컨텐츠 보호를 위해 표준으로 제정된 DTCP(Digital Transmission Contents Protection)용 타원 곡선 암호(ECC) 연산기의 구현에 대해 기술한다. 기존의 시스템이 유한체 GF(2/sup m/)를 사용하는 것과는 달리 DTCP에서는 소수체인 GF(p)에서 타원 곡선을 정의하여 인증 및 키 교환을 위해 ECC 암호 알고리즘을 사용하고 있다. 본 논문에서는 ECC 알고리즘의 핵심 연산인 GF(p) 상에서의 스칼라 곱셈 연산기를 구현하였으며, 이 중 가장 많은 시간과 자원을 필요로 하는 나눗셈 연산을 제거하기 위하여 투영 좌표 변환 방법을 이용하였다. 또한, 효율적인 모듈러 곱셈 연산을 위하여 몽고메리 알고리즘을 이용하였으며, 곱셈기의 처리 속도를 빠르게 하기 위해 CSA(Carry Save Adder)와 4-레벨의 CLA(Carry Lookahead Adder)를 사용하였다. 본 논문에서 설계한 스칼라 곱셈기는 삼성전자 0.18 un CMOS 라이브러리를 이용하여 합성하였을 경우 64,559 게이트의 크기에 최대 98 MHz까지 동작이 가능하며 이 때 데이터 처리속도는 29.6 kbps로 160-blt 프레임당 5.4 ms 걸린다. 본 성능은 실시간 환경에서 DTCP를 위한 디지털 서명, 암호화 및 복호화, 그리고 키 교환 등에 효율적으로 적용될 수 있다.

• 패션비즈니스
• /
• 제21권6호
• /
• pp.16-30
• /
• 2017

Currently, e-textile market is rapidly expanding and the emerging area of e-textiles requires electrically conductive threads for diverse applications, including wearable innovative e-textiles that can transmit/receive and display data with a variety of functions. This study introduces hybrid nano-structures which may help increase the conductivity of the textile threads for use in wearable and flexible smart apparels. For this aim, Ag was selected as a conductive material, and yarn treatment was implemented where silver nanowire (AgNW) and graphene flake (GF) hybrid structures overcome the limitations of the AgNW alone. The yarn treatment includes several treatment conditions, e.g., annealing temperature, annealing time, binder material such as polyurethane (PU), coating time, in order to search for the optimum method to form stable conductive nano-scale composite materials as thin film on the surface of textile yarns. Treatedyarns showed improved electrical resistance readings. The functionality of the spandex yarn as a stretchable conductive thread was also demonstrated. When the yarn specimens were treated with colloid of AgNW/GF, relatively good electrical conductivity value was obtained. During the extension and recovery cycles of the treated yarns, the initial resistance values did not deteriorate significantly, since the network of nanowire structure with the support of GF and polyurethane stayed flexible and stable. Through this research, it was found that when one-dimensional structure of AgNW and two-dimensional structure of GF were mixed as colloids and treated on the surface of textile yarns, flexible and stretchable electrical conductor could be formed.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (3)
• /
• pp.59-61
• /
• 2000

멀티미디어 데이터의 크기가 커짐에 따라, 파일 시스템에 대량의 데이터를 저장하는 것이 필요하다. 기존의 파일 시스템이 대용량의 데이터를 저장하는 면에서 우수한 성과를 얻기 어려움에 따라, SAN(Storage Area Network)을 이용한 새로운 파일 시스템이 최근에 연구되고 있다. SAN을 이용한 파일 시스템인 GFS는 기존 파일시스템들에 비해 대량의 데이터를 저장할 수 있도록 설계되었지만, inode와 빈 공간의 관리가 효율적이지 못하였다. 본 논문에서는 이러한 문제점을 해결하기 위해서 GFS의 inode 구조, 데이터 블록 할당 기법, 그리고 빈 공간 관리 기법에 중점을 두어 메타데이터 구조를 개선한다. 그 결과 데이터 블록 접근 시간을 줄이는 새로운 inode 구조를 설계하고, 큰 파일에는 연속된 블록으로 된 익스텐트로 할당하고 작은 파일에는 블록들로 할당하는 새로운 데이터 할당 기법을 제시한다. 또한, 빈 공간을 신속히 할당 회수할 수 있도록 빈 익스텐트들과 블록들의 주소를 저장하여 두는 독창적인 빈 공간 지갑을 사용한다. 성능 분석 결과 이러한 개선 방안들이 기존의 다른 시스템들보다 효율적임을 알 수 있다.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (3)
• /
• pp.859-861
• /
• 2001

VIA는 클러스터 또는 시스템 영역 네트워크를 위한 표준화된 사용자수준 통신 아키텍쳐이고, GFS는 LINUX 클러스터에서 사용할 수 있는 공유 락일 시스템이다. 클러스터 환경에서 GFS를 사용할 때 특별한 스토리지 네트워크가 설치되어 있지 않으면 GNBD를 사용한다. GNBD는 TCP/TP 상의 소켓을 기반으로 구현되어 있기 때문에, VIA를 사용하는 클러스터이더라도 VIA 하드웨어 상에서 TCP/IP 소켓을 통하여 GNBD를 작동시킨다. VIA와 같이 물리적 연결이 신뢰성이 높고 높은 수준의 기능을 제공하는 경우는 같은 클러스터 안에서 TCP/IP 프로토콜 스택을 사용할 필요가 없다. 본 논문은 VIA상에서 GNBD를 위한 고속 통신 계층(VCONN)을 제안하여, 동일한 VIA 하드웨어에서 지원되는 TCP/IP 모듈을 사용했을 때보다 읽기, 쓰기 성능을 각각 약 22%, 30% 향상시키는 방법을 소개한다.

• 대한한의학방제학회지
• /
• 제28권4호
• /
• pp.313-325
• /
• 2020

Objectives : To explore the associated potential pathways and molecular targets of Hwangryunhaedok-tang(HHT) by the approaches of network pharmacology and bioinformatics in traditional chinese medicine(TCM). Methods : Hwangryunhaedok-tang constituent drugs(Coptidis Rhizoma, CR; Scutellariae Radix, SR; Phellodendri Cortex, PC; Gardeniae Fructus, GF) and their processing types were searched from TCM systems pharmacology(TCMSP). The databases of TCMSP, Kyoto Encyclopedia of Genes and Genomes(KEGG), MCODE and STRING were used to gather information. The network of bioactive ingredients and target gene was constructed by Cytoscape software(version 3.8). Results : A total of 94 HHT active compounds(CR, 12; SR, 35; PC, 33; GF, 14, respectively) were found, and HHT were identified by TCMSP. Applications of KEGG and MCODE analysis indicates that total of 6 bioactive ingredients in the top 10% ranking were obtained and 32 diseases of HHT were screened. The molecular pathway analysis revealed that HHT exerts cancer, inflammation and cerebrovascular diseases effects by acting on several signaling pathway. In addition, HHT found that three genes(e.g. SPIN1, TRIM25, and APP) correlate with the aforementioned diseases. Conclusions : This study showed that network pharmacology analysis is useful to elucidate the complex mechanisms of action of HHT.

• IMMUNE NETWORK
• /
• 제24권1호
• /
• pp.10.1-10.17
• /
• 2024

In this review, we will explore the intricate roles of cytokines and vascular endothelial growth factors in autoimmune diseases (ADs), with a particular focus on rheumatoid arthritis (RA) and multiple sclerosis (MS). AD is characterized by self-destructive immune responses due to auto-reactive T lymphocytes and Abs. Among various types of ADs, RA and MS possess inflammation as a central role but in different sites of the patients. Other common aspects among these two ADs are their chronicity and relapsing-remitting symptoms requiring continuous management. First factor inducing these ADs are cytokines, such as IL-6, TNF-α, and IL-17, which play significant roles in the pathogenesis by contributing to inflammation, immune cell activation, and tissue damage. Secondly, vascular endothelial growth factors, including VEGF and angiopoietins, are crucial in promoting angiogenesis and inflammation in these two ADs. Finally, placental growth factor (PlGF), an emerging factor with bi-directional roles in angiogenesis and T cell differentiation, as we introduce as an "angio-lymphokine" is another key factor in ADs. Thus, while angiogenesis recruits more inflammatory cells into the peripheral sites, cytokines secreted by effector cells play critical roles in the pathogenesis of ADs. Various therapeutic interventions targeting these soluble molecules have shown promise in managing autoimmune pathogenic conditions. However, delicate interplay between cytokines, angiogenic factors, and PlGF has more to be studied when considering their complementary role in actual pathogenic conditions. Understanding the complex interactions among these factors provides valuable insights for the development of innovative therapies for RA and MS, offering hope for improved patient outcomes.

• Journal of information and communication convergence engineering
• /
• 제3권4호
• /
• pp.201-204
• /
• 2005

Twofish is a 128-bit block cipher that accepts a variable-length key up to 256 bits. The cipher is a 16­round Feistel network with a bijective F function made up of four key-dependent 8-by-8-bit S-boxes, a fixed 4­by-4 maximum distance separable matrix over Galois Field$(GF (2^8)$, a pseudo-Hadamard transform, bitwise rotations, and a carefully designed key schedule. In this paper, the Twofish is modeled in VHDL and simulated. Hardware implementation gives much better performance than software-based approaches.

• Industrial Engineering and Management Systems
• /
• 제15권3호
• /
• pp.268-277
• /
• 2016

Load balancing is a significant technique to prolong a network's lifetime in sensor network. This paper introduces a hybrid approach named as Load Distributing Hybrid Routing Protocol (LDHRP) composed with a border node routing protocol (BDRP) and greedy forwarding (GF) strategy which will make the routing effective, especially in mobility scenarios. In an existing solution, because of the high network complexity, the data delivery latency increases. To overcome this limitation, a new approach is proposed in which the source node transmits the data to its respective destination via border nodes or greedily until the complete data is transmitted. In this way, the whole load of a network is evenly distributed among the participating nodes. However, border node is mainly responsible in aggregating data from the source and further forwards it to mobile sink; so there will be fewer chances of energy expenditure in the network. In addition to this, number of hop counts while transmitting the data will be reduced as compared to the existing solutions HRLBP and ZRP. From the simulation results, we conclude that proposed approach outperforms well than existing solutions in terms including end-to-end delay, packet loss rate and so on and thus guarantees enhancement in lifetime.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 ITC-CSCC -2
• /
• pp.1109-1112
• /
• 2002

A non-coherent synchronous all-optical code-division multiple-access (CDMA) network is proposed. In this network, symmetric codes derived from prime sequence codes are used. We present the construction of symmetric codes and show that the pseudo-orthogonality of the new codes is the same as that of the original prime-sequence codes while the cardinality of the new codes is larger than that of the prime sequence codes and the modified prime codes in the same field GF(p). Therefore, an optical CDMA LAN using symmetric codes can have a larger number of potential subscribers. The new codes allow designing fully programmable serial all-optical transmitter and receiver suitable for low-loss, high-capacity, optical CDMA LANs. It is also shown that compared to systems using modified prime codes the proposed system can achieve better BER performance for low received chip optical power.

• Journal of Information Processing Systems
• /
• 제16권5호
• /
• pp.1105-1112
• /
• 2020

Gait recognition, as a promising biometric, can be used in video-based surveillance and other security systems. However, due to the complexity of leg movement and the difference of external sampling conditions, gait recognition still faces many problems to be addressed. In this paper, an improved convolutional neural network (CNN) based on Gabor filter is therefore proposed to achieve gait recognition. Firstly, a gait feature extraction layer based on Gabor filter is inserted into the traditional CNNs, which is used to extract gait features from gait silhouette images. Then, in the process of gait classification, using the output of CNN as input, we utilize metric learning techniques to calculate distance between two gaits and achieve gait classification by k-nearest neighbors classifiers. Finally, several experiments are conducted on two open-accessed gait datasets and demonstrate that our method reaches state-of-the-art performances in terms of correct recognition rate on the OULP and CASIA-B datasets.